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• 12-Week Immersive Educational Program Strengthening Data Science and Machine Learning Skills Including Python, Exploratory Data Analysis (Eda), Data Cleansing, Data Visualization, Regression Modeling, Classification Models, Web-Scraping, Api’S, Natural Language Processing (Nlp), Unsupervised Learning, Big Data, Data Engineering, Time Series Analysis, Bayesian Statistics and Deep Learning. Projects Completed Audio Feature Forecaster: Used Sarimax Models to Track and Predict Presence of 11 Audio Features by Scraping and Analyzing Spotify Chart’S Daily Viral 50 for Three Countries Over Three Years, Two Months for A Total of 224,000 Song Records That were Then Resampled to Reduce Noise and Identify Significant Trends Sub-Reddit Identification Model: Built Ensemble Nlp Classification Model That Identifies the Subreddit of A Post with ~89% Accuracy
• Learned to Build Sophisticated Predictive Models with Broad and Deep Conceptual Awareness of Data Science Progress and Pitfalls; Completed Collaborative and Individual Projects to Deepen Skills in Python, Sql, and Statistics Project Completed Musical Chord Classifier with Logistic Regression: Built User Interface Called Chordify, Which Recommends Chords for Use in Song Composition from User-Inputted Words; Predictions Based on Network of Tf-Idf Vectors and Logistic Regressions